MBGapp: Interactive 'shiny' Application for Model-Based Geostatistics
Provides an interactive 'shiny' application for teaching and applied
analysis of geostatistical data. Users can explore spatial data, assess
spatial correlation through the empirical variogram, fit model-based
geostatistical models for continuous, prevalence and count outcomes, produce
spatial predictions, and download reports. The methodology follows the
model-based geostatistics framework of Diggle and Giorgi (2019, ISBN:9781138732353).
| Version: |
0.1.0 |
| Imports: |
geoR, ggplot2, shiny, sf, dplyr, readr, tidyr, magrittr, leaflet, leafem, tidyterra, stars, RiskMap, terra, grDevices, shinyjs, splines, httr2, rmarkdown |
| Suggests: |
INLA, covr, testthat (≥ 3.0.0) |
| Published: |
2026-07-10 |
| DOI: |
10.32614/CRAN.package.MBGapp |
| Author: |
Olatunji Johnson 
[cre, aut],
Claudio Fronterre [aut],
Emanuele Giorgi [aut] |
| Maintainer: |
Olatunji Johnson <olatunjijohnson21111 at gmail.com> |
| BugReports: |
https://github.com/olatunjijohnson/MBGapp/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://github.com/olatunjijohnson/MBGapp |
| NeedsCompilation: |
no |
| Additional_repositories: |
https://inla.r-inla-download.org/R/stable |
| Materials: |
README |
| CRAN checks: |
MBGapp results |
Documentation:
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